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Data Mining is an emerging field used in educational purposes to improve the perceptive and learning method of students. It focuses on recognizing, extracting and calculating data associated to the learning method and improving student’s performance. Mining in a learning field is known as educational information mining which is fretful with exploring latest techniques to find out knowledge from educational fields. The purpose of our study is to evaluate the performance of students by taking different attributes like academic achievements (CGPA), gender, class test grade, environment of class, Fund/Scholarships/Private etc. In our research we will use classification and clustering techniques to analyze student performance. The techniques used in our work are decision tree, Bayesian classification-mean algorithms, neural networks, naïve’s bayes, Web based system and nearest neighbor methods.
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Student¿s Performance: A Data Mining Perspective
Editore:
LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202024011
ISBN 13: 9786202024013
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Mining is an emerging field used in educational purposes to improve the perceptive and learning method of students. It focuses on recognizing, extracting and calculating data associated to the learning method and improving student's performance. Mining in a learning field is known as educational information mining which is fretful with exploring latest techniques to find out knowledge from educational fields. The purpose of our study is to evaluate the performance of students by taking different attributes like academic achievements (CGPA), gender, class test grade, environment of class, Fund/Scholarships/Private etc. In our research we will use classification and clustering techniques to analyze student performance. The techniques used in our work are decision tree, Bayesian classification-mean algorithms, neural networks, naïve's bayes, Web based system and nearest neighbor methods. 56 pp. Englisch. Codice articolo 9786202024013
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Student's Performance: A Data Mining Perspective
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202024011
ISBN 13: 9786202024013
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Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Codice articolo zk6202024011
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Student\ s Performance: A Data Mining Perspective
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202024011
ISBN 13: 9786202024013
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shaukat KamranKamran Shaukat is working as Lecturer Information Technology at University of the Punjab, Jhelum Campus. He has MS Computer Science degree with Gold Medal from Mohammad Ali Jinnah University Islamabad and BS Computer Sc. Codice articolo 167895801
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Student's Performance: A Data Mining Perspective
Editore:
LAP LAMBERT Academic Publishing Aug 2017, 2017
ISBN 10: 6202024011
ISBN 13: 9786202024013
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data Mining is an emerging field used in educational purposes to improve the perceptive and learning method of students. It focuses on recognizing, extracting and calculating data associated to the learning method and improving student's performance. Mining in a learning field is known as educational information mining which is fretful with exploring latest techniques to find out knowledge from educational fields. The purpose of our study is to evaluate the performance of students by taking different attributes like academic achievements (CGPA), gender, class test grade, environment of class, Fund/Scholarships/Private etc. In our research we will use classification and clustering techniques to analyze student performance. The techniques used in our work are decision tree, Bayesian classification-mean algorithms, neural networks, naïve's bayes, Web based system and nearest neighbor methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Codice articolo 9786202024013
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Student¿s Performance: A Data Mining Perspective
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202024011
ISBN 13: 9786202024013
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Mining is an emerging field used in educational purposes to improve the perceptive and learning method of students. It focuses on recognizing, extracting and calculating data associated to the learning method and improving student's performance. Mining in a learning field is known as educational information mining which is fretful with exploring latest techniques to find out knowledge from educational fields. The purpose of our study is to evaluate the performance of students by taking different attributes like academic achievements (CGPA), gender, class test grade, environment of class, Fund/Scholarships/Private etc. In our research we will use classification and clustering techniques to analyze student performance. The techniques used in our work are decision tree, Bayesian classification-mean algorithms, neural networks, naïve's bayes, Web based system and nearest neighbor methods. Codice articolo 9786202024013
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Student's Performance: A Data Mining Perspective
Editore:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202024011
ISBN 13: 9786202024013
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Student's Performance: A Data Mining Perspective | Kamran Shaukat (u. a.) | Taschenbuch | 56 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202024013 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 109727743
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